Sentence examples for predictions were analyzed from inspiring English sources
The resulting models were then used to predict outcome (CID or AD) for the test groups, and the predictions were analyzed for accuracy and rates of false-positive results.
As these predictions were analyzed, more complex conditions were seen to be necessary for a satisfactory reproduction of experimental data.
Age predictions were analyzed using a SAS (Cary, NC) PROC MIXED model to determine differences among storage times (fresh and about 1 week, 1 month, and 2 months).
These 21 structural predictions were analyzed in detail in order to identify those for which, in addition to the structural assignment, a confident functional prediction can be made.
Subcomplex predictions were analyzed in more detail for the 21 complexes with at least 10 subunits, at least two predicted subcomplexes and available protein complex annotations in the GO (see http://www.bio.ifi.lmu.de/Complexes/Substructures/).
The sensitivity of the model predictions was analyzed.
Effect of temperature and inoculum concentration on predictions was analyzed using a factorial design.
The LDI emissions characteristics, and radiation-spray coupling effect on the predictions are analyzed.
Characteristics of fibers manufactured in the laboratory are presented and model predictions are analyzed.
The observed magnetopause locations are compared with an empirical magnetopause model of Shue et al. (1997) and the sources of differences between observations and model predictions are analyzed.
The identifiability and reliability of the estimated parameters, as well as the uncertainties involved in the model predictions are analyzed with the Markov chain Monte Carlo (MCMC) method.
